AI AWS Cloud Application Testing Lead

Role DescriptionJob Title: AI AWS Cloud Application Testing LeadWork Location: Dallas, TXWork Mode: OnsitePosition SummaryNeed Candidates with over 10 years of experience.Customer facing lead responsible for AI Trust Assurance governance AI evaluation strategy and executive reportingKey ResponsibilitiesOwn end-to-end AI Quality Assurance strategyDefine AI acceptance criteriaLead AI governance reviewsDrive Responsible AI and compliance validationPresent executive level quality metrics and risk assessmentsLead AI governance reviewsDrive Responsible AI and compliance validationPresent executive level quality metrics and risk assessmentsSkills: AI, AWS Cloud data Testing, Cloud Application Testing, Cloud testing, AWS CloudFormation, User Acceptance TestingOther DetailsActual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):Benefits And PerksComprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity LeaveThe range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.